Formulation of a model to determine current and potential zones of cultivation for Hass avocado (Persea americana Mill) in the department of Risaralda based on edaphoclimatic and fruit quality variables

Authors

DOI:

https://doi.org/10.31908/19098367.2993

Keywords:

Hass Avocado, Machine Learning, Random Forest, Potential Crop Zones

Abstract

Agriculture is one of the fundamental pillars of all societies worldwide, and the proper management of information allows timely decisions to be made about the advancement of companies. National and departmental government entities support emergent agricultural endeavors that provide a good opportunity to increase levels of production and commercialization of products [1], such as the cultivation of Hass avocado (Persea americana Mill). Among the challenges associated with this type of cultivation is the need to find potential areas for planting and suitable productivity and to contribute to technological developments in the agricultural sector, benefiting Hass avocado growers from the department of Risaralda. Therefore, in this study, a model that allows the determination of current and potential areas of cultivation for Hass avocado (Persea americana Mill) in this department based on edaphoclimatic variables and fruit quality is proposed. This model takes advantage of current trends in precision agriculture, including techniques derived from machine learning and supervised learning algorithms, among which is random forest

Author Biographies

  • Cesar Manuel Castillo Rodriguez, Universidad Tecnológica de Pereira

    Systems Engineer, M.Sc. Computer and Systems Engineering. Professor of the Universidad Tecnológica de Pereira, Faculty of Engineering, with experience in in-person higher education systems andvirtual learning environments. Researcher Group Artificial Intelligence (GIA) from Universidad Tecnológica de Pereira. Areas of interest and teaching related to Data Scienceand Precision Agriculture. Studies are oriented toward the development of projects, the maximization of technological, physical, and environmental resources, andthe consolidation of work groups.

  • Gloria Edith Guerrero Alvarez, Universidad Tecnológica de Pereira

    Chemistry graduated on December 15, 1992 from the National University of Colombia, Bogotá, as a doctor in chemical sciences. The title wasawarded on April 6, 2001 by the National University of Colombia, Bogotá. researcher at Cenipalma headquarters in Bogotá and currently a professor at the Technological University of Pereira assigned to the Chemical Technology program of the Faculty of Technology, linked since February 6, 2004. The areas of interest are: agrochemistry, particularly studies of plant protection plants, use of secondary metabolites for the selection of promising materials, valorization of agricultural and agroindustrial byproducts,and applications of precision agriculture in commercial crops of national interest.

  • Julio César Chavarro Porras, Universidad Tecnológica de Pereira

    Systems and computing engineer, from Universidad Distrital Francisco José de Caldas Bogotá, Colombia. Specialist in physical instrumentation from Universidad Tecnológica de Pereira. Ph.D. engineering, emphasis in computer science. Director Group Artificial Intelligence (GIA) from Universidad Tecnológica de Pereira He has been a professor-researcher of Universidad Tecnológica de Pereira for over26 years. He has been active in research groups whose areas of interest and teaching are related to software engineering and AI.

  • César Augusto Jaramillo Acevedo, Universidad Tecnológica de Pereira

    Systems and computing engineer, MSc in Systems and Computing Engineering from Universidad Tecnológica de Pereira. Director and researcher in projects related to Industry 4.0, precision agriculture, education, and business development. He has been a professor-researcher of Universidad Tecnológica de Pereira for over12 years. He has been active in research groups whose areas of interest and teaching are related to software engineering, compilers, AI, IoT systems, the cloud, distributed systems, and Industry 4.0.

  • Juan Pablo Arrubla Vélez, Universidad Tecnológica de Pereira

    Chemist (Universidad del Quindío, 1999), MSc. in Chemistry (Universidad Industrial de Santander, 2003), Doctor in Environmental Sciences (Universidad Tecnológica de Pereira, 2016); is a professor and researcher at the School of Chemical Technology of the Technological University from Pereira, Colombia since 2006. Has skills and experience in analytical method development, gas chromatography and mass spectrometry, and sample preparation. He has also worked on research in the fields of environmental pollution, natural products, and bioenergy.

  • Andrés Alfonso Patiño Martínez, Universidad Tecnológica de Pereira

    Engineer agronomist from the Universidad de Santa Rosa de Cabal -UNISARC in the department of Risaralda -Colombia (2002), Master's degree in Agricultural Production Systems from the University of Caldas in the department of Caldas -Colombia (2018), and Junior Researcher categorized by Minciencias. He has worked in the research area in fruits, especially Avocado, Blackberry, and Banana. Currently, he serves as the dean of the Faculty of Agricultural Sciences at UNISARC.

References

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Published

2024-06-25

Issue

Vol. 18 No. 35 (2024)

Section

Artículos

How to Cite

Formulation of a model to determine current and potential zones of cultivation for Hass avocado (Persea americana Mill) in the department of Risaralda based on edaphoclimatic and fruit quality variables. (2024). Entre Ciencia E ingeniería, 18(35), 41-45. https://doi.org/10.31908/19098367.2993